Argument Recognition and Role Labeling on CoNLL English in-domain 2009 (test)
90.4PrecisionHigh-Order model
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| High-Order modeldependency_feature=true, decoding_speed_token_per_second=8972021.01 | 90.4 | 90 | 90.2 | |
| Li et al. (2019)dependency_feature=true, decoding_speed_token_per_second=4322021.01 | 90.2 | 89.5 | 89.9 | |
| Li et al. (2019)dependency_feature=false2021.01 | 89.9 | 89.2 | 89.6 | |
| Cai et al. (2018)dependency_feature=true, decoding_speed_token_per_second=4502021.01 | 89.7 | 89 | 89.5 | |
| Cai et al. (2018)dependency_feature=false2021.01 | 89.5 | 88.4 | 89.2 | |
| He et al. (2018)dependency_feature=true, decoding_speed_token_per_second=6042021.01 | 89.5 | 88 | 89.2 | |
| High-Order modeldependency_feature=false2021.01 | 89.4 | 91.1 | 89.8 | |
| He et al. (2018)dependency_feature=false2021.01 | 89 | 87.6 | 88.9 | |
| Vanilla modeldependency_feature=true, decoding_speed_token_per_second=10582021.01 | 88.5 | 89.6 | 88.9 | |
| Vanilla modeldependency_feature=false2021.01 | 88 | 88.9 | 88.4 |